Articles liés à Indexing and Filtering Arabic Documents Using Ontology...

Indexing and Filtering Arabic Documents Using Ontology and MAS: Building An Arabic ontology On The Basis of Schemes (الأوزان) And Their Semantics Meanings - Couverture souple

Samia, Zouaoui; Khaled, Rezeg

 
9786200298133: Indexing and Filtering Arabic Documents Using Ontology and MAS: Building An Arabic ontology On The Basis of Schemes (الأوزان) And Their Semantics Meanings
Couverture souple
ISBN 10 : 6200298130 ISBN 13 : 9786200298133
Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

For the semantic indexing of Arabic documents, we are building a new ontology (SchemNet) based on Arabic schemes and their meanings and the combination of the contents of Arabic WordNet (AWN) and Arabic VerbNet (AVN). Then we use this ontology to filter documents in order to find the relevant documents that respond to the user requests. Although the indexing process is based on the stemming phase, the current available solutions have proven that this step consumes a lot of time when processing a large volume of data. To the best of our knowledge, there are no works addressing this problem and especially through the use of agents to improve the indexing process of Arabic documents. Our objective is indexing Arabic documents based on the multi-agent system to improve the indexing process on the term of time processing.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

For the semantic indexing of Arabic documents, we are building a new ontology (SchemNet) based on Arabic schemes and their meanings and the combination of the contents of Arabic WordNet (AWN) and Arabic VerbNet (AVN). Then we use this ontology to filter documents in order to find the relevant documents that respond to the user requests. Although the indexing process is based on the stemming phase, the current available solutions have proven that this step consumes a lot of time when processing a large volume of data. To the best of our knowledge, there are no works addressing this problem and especially through the use of agents to improve the indexing process of Arabic documents. Our objective is indexing Arabic documents based on the multi-agent system to improve the indexing process on the term of time processing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2019
Langue
anglais
ISBN 10 
6200298130
ISBN 13 
9786200298133
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
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